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Climate change impacts and vulnerability in Europe 2016

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<strong>Climate</strong> <strong>change</strong> <strong>impacts</strong> on society<br />

Indicator selection<br />

This section uses one <strong>in</strong>dicator, which comb<strong>in</strong>es<br />

<strong>in</strong>formation on heat<strong>in</strong>g degree days (HDDs) <strong>and</strong> cool<strong>in</strong>g<br />

degree days (CDDs), as a proxy for climate <strong>change</strong><br />

<strong>impacts</strong> on energy dem<strong>and</strong>. The sections that follow<br />

present <strong>in</strong>formation on <strong>change</strong>s <strong>in</strong> energy dem<strong>and</strong>,<br />

electricity production <strong>and</strong> energy <strong>in</strong>frastructure, which<br />

do not qualify to be presented as <strong>in</strong>dicators ow<strong>in</strong>g to<br />

limited data availability.<br />

Data quality <strong>and</strong> data needs<br />

The climatological <strong>in</strong>put datasets for comput<strong>in</strong>g HDDs<br />

<strong>and</strong> CDDs for <strong>Europe</strong> comb<strong>in</strong>e temperature data with<br />

daily resolution from three different station datasets —<br />

the JRC's MARS meteorological database (EC, 2015), the<br />

NOAA National Climatic Data Center (NCDC)'s Global<br />

Historical Climatology Network dataset (GHCN; Menne<br />

et al., 2012) <strong>and</strong> the <strong>Europe</strong>an <strong>Climate</strong> <strong>and</strong> Assessment<br />

Dataset of the Royal Meteorological Institute of the<br />

Netherl<strong>and</strong>s (KNMI-ECA&D; Kle<strong>in</strong> Tank <strong>and</strong> Wijngaard,<br />

2002) — <strong>and</strong> from one gridded dataset (E-OBS<br />

versions 10 <strong>and</strong> 11; Haylock et al., 2008). These datasets<br />

are considered rather robust. However, different<br />

def<strong>in</strong>itions exist for comput<strong>in</strong>g HDDs <strong>and</strong> CDDs, which<br />

can lead to different magnitudes of calculated trends<br />

(see Section 5.4.2).<br />

Information on past <strong>and</strong> projected <strong>impacts</strong> of<br />

climate <strong>change</strong> on electricity dem<strong>and</strong> <strong>and</strong> electricity<br />

generation is very fragmented. The effect of long-term<br />

climate <strong>change</strong> can be difficult to determ<strong>in</strong>e ow<strong>in</strong>g to<br />

concurrent <strong>change</strong>s <strong>in</strong> technical, social, behavioural <strong>and</strong><br />

economic aspects, while the effects of extreme events<br />

are usually easier to detect.<br />

<strong>Climate</strong> <strong>change</strong>, <strong>impacts</strong> <strong>and</strong> <strong>vulnerability</strong> <strong>in</strong> <strong>Europe</strong> <strong>2016</strong> | An <strong>in</strong>dicator-based report<br />

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